ph-competitor-analysis

ph-competitor-analysis is a skill for Claude Code from yoanbernabeu/producthunt-skills. It costs 43 tokens per session (1,250 once invoked), scanned A, original, MIT.

A workflow for studying competing product launches on Product Hunt, a website where new products are publicly introduced and ranked by community votes. It collects launch details and compares successful products.

In plain words
What is it for?
Use it to research similar launches, compare products for a planned launch day, benchmark launch materials, and study what helped products rank highly.
Why use it?
It helps reveal the level of competition and the patterns associated with strong launches in a product category.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the ph-strategy plugin — 3 skills shipped together , and of ph-complete

Good fit Use it to research similar launches, compare products for a planned launch day, benchmark launch materials, and study what helped products rank highly.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yoanbernabeu/producthunt-skills/ph-competitor-analysis
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add yoanbernabeu/producthunt-skills --skill ph-competitor-analysis
Clone the repo
git clone --depth 1 https://github.com/yoanbernabeu/producthunt-skills

Made for: Claude Code.

Or install ph-strategy, the plugin that ships this one along with the rest of its 3 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ph-competitor-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/yoanbernabeu/producthunt-skills/ph-competitor-analysis/github.svg)](https://agentmods.dev/skills/yoanbernabeu/producthunt-skills/ph-competitor-analysis)
Your own site
<a href="https://agentmods.dev/skills/yoanbernabeu/producthunt-skills/ph-competitor-analysis"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/producthunt-skills/ph-competitor-analysis/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ph-competitor-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/yoanbernabeu/producthunt-skills/ph-competitor-analysis"><img src="https://agentmods.dev/badge/skills/yoanbernabeu/producthunt-skills/ph-competitor-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,250 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00043 $0.01250
Opus 5 $0.00022 $0.00625
Sonnet 5 $0.00009 $0.00250
Haiku 4.5 $0.00004 $0.00125

Measured 11d ago against content hash c268d5d93024, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

ph-competitor-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/strategy/ph-competitor-analysis/SKILL.md · 184 lines

How it starts

The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Product Hunt Competitor Analysis

This skill helps you analyze the competitive landscape on Product Hunt, learn from successful launches, and position your product for maximum impact.

When to Use This Skill

  • Researching similar products that launched on Product Hunt
  • Evaluating competition for a specific launch day
  • Learning from top performers in your category
  • Benchmarking your assets against successful launches
  • Understanding what makes products win POTD

Analysis Framework

1. Category Research

Identify products in your space that launched successfully:

Research Sources:

  • Product Hunt search by category/topic
  • Product Hunt "Topics" pages
  • hunted.space for historical data
  • ProductFlair for inspiration

Data to Collect:

Product Launch Date Upvotes Comments Rank Tagline
[Name] [Date] [#] [#] [#] [Text]

2. Launch Day Competition Analysis

For your target launch date, research:

Historical Pattern (Same Day of Week):

  • Average upvotes for #1 position
  • Typical number of featured products
  • Quality level of competitors

Benchmark Thresholds (2024-2025 Data):

Day #1 Position Top 5 Featured
Monday 500-700 300+ 150+
Tuesday 600-900 400+ 200+
Wednesday 700-1000 450+ 200+
Thursday 600-900 400+ 200+
Friday 400-600 250+ 150+
Saturday 300-500 200+ 100+
Sunday 300-500 200+ 100+

3. Top Performer Deep Dive

For each successful competitor, analyze:

Content Elements:

  • Tagline: What makes it compelling?
  • Thumbnail: Static or GIF? Style?
  • Gallery: How many images? Video included?
  • Description: Length, structure, tone
  • Maker Comment: Structure, authenticity, CTA

Engagement Patterns:

  • First hour upvotes
  • Comment velocity
  • Maker response rate
  • Community discussion quality

Unique Differentiators:

  • What made this product stand out?
  • Any special offers or promotions?
  • Notable endorsements or hunters?

Read the full file on GitHub · 184 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 184 lines · 43 tokens per session scan A c268d5d93024

Subscribe to this mod's changes

ph-competitor-analysis is a skill published in the GitHub repository yoanbernabeu/producthunt-skills (18 stars, last pushed 7mo ago), licensed MIT. It adds 43 tokens to every session and 1,250 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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